Grand final rematch marred by VAR controversy as the A-League champions run out victors
by AAP with Staff WritersBruno Fornaroli became the fastest player to score 50 A-League goals but it was Sydney FC who took the spoils with a 3-1 victory over Perth Glory in Saturday night’s grand final rematch.
Sydney hit the lead in the 12th minute at HBF Park courtesy of an Adam Le Fondre penalty, but Glory were back on even terms in the 44th minute when Fornaroli produced a sweet right-foot strike.
Fornaroli’s 50th goal came in just his 76th game, beating the previous record of 79 matches set by both Shane Smeltz and Besart Berisha.
MATCH CENTRE: Perth Glory vs Sydney FC
Stream every game of the 2019/20 Hyundai A-League season LIVE & On-Demand with Kayo Sports. Get your 14 day free trial & start streaming instantly >
But that joy was short-lived, with second-half goals to Kosta Barbarouses and Milos Ninkovic guiding Sydney to their fifthwin of the season. The result left the Sky Blues nicely nestled in second spot. In contrast, Glory are languishing in sixth place with just one victory to show from six games.
It means last season’s Premiers Plate winners are already nine points adrift of the top two ahead of a tough double road tripagainst Melbourne Victory and Melbourne City.
Glory skipper Diego Castro gave away the silliest of penalties early when he tugged on the shirt of Ninkovic.
MORE FOOTBALL NEWS
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‘IS THAT A SERIOUS QUESTION? F*** SAKE’: Wanderers coach explodes over penalty call
‘FOR THE BIGGEST CLUB IN THE COUNTRY... PATHETIC’: Victory dubbed ‘rubbish’ in all-time Bozza rant
Ninkovic milked the tug for everything it was worth by theatrically crashing to the turf, and Glory players reacted angrily to the ease in which the Sydney star crumpled.
But the fact of the matter was a pull of the shirt was clear to see, and the VAR quickly upheld the decision.
Le Fondre’s powerful penalty to the right just evaded goalkeeper Liam Reddy. Glory’s equaliser made for pleasant viewing.
Neil Kilkenny sent a long ball to the edge of the box where Joel Chianese rose high to head the ball across the face of goalto Fornaroli.
The Uruguayan star struck the ball before it even touched the ground to send the 8741 crowd into raptures.
Perth had chances early in the second half to snatch the lead, but it was Sydney who scored against the run of play after catching Glory’s defence napping. Barbarouses beat the offside trap by the barest of margins before sprinting 25m to slot a 58th-minutegoal.
Then seven minutes later, Glory’s scrambling defence was exposed again, allowing Ninkovic to get on the scoresheet.
Fornaroli thought he had his second goal in the 83rd minute when he chested the ball to himself before striking a sweet volley.
But VAR showed he was marginally offside, with the decision ending any hopes of a late Glory fightback.
Re-live all the action in our live blog.
If you can’t see the blog, CLICK HERE.


django-contentrelations 1.1 documentation
Many times resources are used in another context, such as an Adobe Flash application. Serialization is the process of converting a set of resources into another format such as XML or JSON. Supply Closet’s serialization framework provides a mechanism for “translating” Resources into other formats. Usually these other formats will be text-based and used for sending Resources over a wire, but it’’’s possible for a serializer to handle any format (text-based or not).
Supply Closet’s serializization framework is closely based on Django’s serialization framework. But there is one fundamental difference. Since the nature of a Resource is flexible, there is no way to determine the fields or attributes of a Resource. Therefore it is difficult to write a completely generic serializer for a given format.
It could look like this:
>>> from myresources.resources import MySerializer
>>> myserializer = MySerializer()
>>> output = myserializer.serialize(object_list)
In this example, object_list is simply an iterable of Django Model instances with registered Resources. Internally the serializer wraps the object_list in a ResourceIterator
Your serializer should subclass Serializer. Creating a functioning serializer requires only implementing one of two methods: either Serializer.serialize_object() or Serializer.handle_field(). You can only use handle_field if you pass a selected_fields parameter to the Serializer.serialize() method.
Here is a very simplistic CSV serializer for a Resource:
from contentrelations.serializer import Serializer
import csv
class SimpleCSVSerializer(Serializer):
"""
This will serialize resources with name and description attributes
"""
def serialize_object(self, obj):
csv_writer = csv.writer(self.stream)
csv_writer.writerow([obj.name, obj.description])
This only implements the serialize_object method. For more complex formats, you will probably need to do more.
The Serializer object has several event methods that you can use to help with the out put.
Here is an example of a very simple JSON serializer:
from contentrelations.serializer import Serializer
import json
class SimpleJSONSerializer(Serializer):
"""
This will serialize resources with name and description attributes
"""
def start_serialization(self):
self.stream.write("[")
def end_serialization(self):
self.stream.write("]")
def serialize_object(self, obj):
out = {'name': obj.name, 'description': obj.description}
if not self.first:
self.stream.write(",")
self.stream.write(json.dumps(out))
This serializer uses the start_serialization and end_serialization methods to add the enclosing brackets [] around the objects.


Hi My name is Joderrick Golden, I am a C# .Net Developer who loves to solve many different problems, as well as create quality websites. I have a B.A. degree from Kent State University, as well as a background in precision welding. I truly love the challenge of laying out the blueprint of a website and then going in and creating it, it is mind blowing! I am looking foward to the future and what challenges it may bring. I am excited to be part of something that can be shared amongst many people.


{% extends "base.html" %} {% load crispy_forms_tags %} {% block head_title %}Welcome | {{ block.super }}{% endblock %} {% block jumbotron %}
The MVP Landing project is designed to get your project started.The goal is to help you launch as soon as possible with the least amount of investment using time or money.Join us today
{{ title }}
Django & Bootstrap
Created for Starters
Always Open Source


Presentation |
http://bit.ly/2uF2IhL |
Workshop |
http://bit.ly/2viXRGF |
Web Cartographer & Geo ICT developer
Maptime Amsterdam & Utrecht
Internship Geo Web Visualization
Msc Geo Information Science & Remote Sensing
Tools we use:
QGIS
PostgreSQL
GeoServer, MapServer
JavaScript: Leaflet, OpenLayers, MapboxGL, D3
Ubuntu, Linux command line tools
Time for making maps!
Maptime is hands on!
Next: Wednesday 27 sept QGIS workshop!
Next: TBA October
At the end of this workshop, you will have your own web page with an interactive map! Including custom data and different background maps, of the area you want to show! Your web page will be hosted on Github, so you can immediately share your progress with all your family and friends!
For beginners means: if you have NO knowledge of JavaScript, HTML, CSS, Leaflet.js and D3.js, this workshop will help you get started!
| Introduction | 15 min |
| Leaflet.js | 15 min |
| Workshop Leaflet.js | 60 min |
| Break! | |
| D3.js | 15 min |
| Workshop D3.js | 60 min |
| Show & tell |
Analogue paper maps
| Digital maps | VS | Web Maps |
|---|---|---|
| Data | Tiles, styles and servers | |
| On the computer | View in a browser | |
| Calculate, analyze | scroll, pan, zoom |
Digital maps
GIS software
GIS on the Web is not user friendly..
1996 Mapquest first with a web service!
in 2004 Endoxon found a way for quick online mapping! map.search.ch
2005 Google Maps took over!
The solution?
All tiles size 256x256 pixels
Placed in a grid, sharing boundaries
Seamless map
All these little tiles load way faster than one big map!
We call this slippy maps
Each zoom level has its own set of tiles!
Zoom level 0: 1 tile for the whole world.
Increases exponentially...
Zoom level 1: 4 tiles
Zoom level 2: 16 tiles
etc.
Tiles are styled and rendered in advance
Tiles are just images on the web
http://tile.openstreetmap.org/5/16/10.png
/z/x/y
Base Layer
Raster
Data Layer / Feature Layer
Vector
Data, styled, tiles, server:
Base Layer
Additional Data:
Vector Layers
Interface and Interaction
Zoom, panning, clicking etc.
Puts it all together,
Tiles, content, interaction
Start with Making a web page
Or use Code Academy
Tiles for Base layer
Data layers, polygons, lines & points
Functionality: zoom, pan, popups, markers, routes, etc.
Interactivity
etc.
Including a JavaScript library in your code is like copying and pasting someone else's code into yours. You have access to everything in that library.
In our case, it's a bunch of cool tools to make web maps and give them familiar functionality.
An Open-Source JavaScript Library for Mobile-Friendly Interactive Maps
simplicity, performance and usability
Developed by: Vladimir Agafonkin.
Weighing about 38 KB of JS.
Has all the mapping features most developers ever need.
Can be extended with Plugins
Well documented
Provide data for you.
Provide the basemap.
Its not GIS
Include in HTML head
HTML body
CSS
#mapid { height: 180px; }
var map = L.map('map').setView([51.505, -0.09], 13);
L.tileLayer('http://{s}.tile.osm.org/{z}/{x}/{y}.png', {
attribution: '© OpenStreetMap contributors'
}).addTo(map);
Add a Base Map
Adding markers, circles, polygons
Add custom data
Everything is on Github
Used for code.
Version control.
Sharing.
Documentation.
NOT Notepad+ ...
See Blackboard!
Made for Boston, USA
Assignment: Change every coordinate of the examples to the Netherlands!!
Not to big datasets
Export to GeoJSON: WGS84
Remove any not used attributes first!
Points, Polygons or Lines?
Attribute names are crucial! simple, short, no spaces or symbols
Running a local server
C:\Python27\ArcGIS10.5\python -m SimpleHTTPServer
Use the INTERNET!
Use the Leaflet documentation!
StackOverflow is awesome!
Ask me
There is more to find on the Internet
Do not keep yourself to the assignments!!
Presentation |
http://bit.ly/2uF2IhL |
Workshop |
http://bit.ly/2viXRGF |
Presentation |
http://bit.ly/2uF2IhL |
Workshop |
http://bit.ly/2viXRGF |
Data Driven Documents
A JavaScript library for manipulating documents based on data
D3 helps you bring data to life using HTML, SVG, and CSS.
Developed by Mike Bostock
Allows you to bind data to the DOM and apply data-driven transformations to the document
HTML, SVG, and CSS
Fast
supports large datasets
Dynamic, interaction, animation
Text-based, mathematical representation of an image.
Vector Graphics
Can be searched, indexed, scripted, and compressed!
a slippy map creator
Not based on tiles!!
Charts (pie, line), Tables, Maps, Networks, animation & interactivity
Selecting elements by :
[.Class #Id Type]
d3.selectAll("p").style("color", "white");
d3.select("body").style("background-color", "black");
Styles: transparency, color, size, borders
d3.selectAll("p").style("color", "white");
Attributes: classes, id, interactive behavior
d3.selectAll(".small").atr("class", "big");
Properties: state, true/false
Transitions: animation, delay, transformation
d3.selectAll("p").style("color", function() {
return "hsl(" + Math.random() * 360 + ",100%,50%)";
});
d3.selectAll("circle").transition()
.duration(750)
.delay(function(d, i) { return i * 10; })
.attr("r", function(d) { return Math.sqrt(d * scale); });
Making a simple map, countries as polygons
Adding Point data, Style data driven
Adding legends and graphs based on the same data
Everything is on Github
Use the INTERNET!
StackOverflow is awesome!
Use the D3.js documentation!
Use bl.ocks.org
Ask me
There is more to find on the Internet
playing is learning
Do not keep yourself to the assignments!!
Presentation |
http://bit.ly/2uF2IhL |
Workshop |
http://bit.ly/2viXRGF |
Feedback please?
Stay in touch or questions:
<EMAIL_ADDRESS>In random order:
All contributors from Mapschool.io
Maptime Boston
Lyzi Diamond
Wikipedia
Leaflet.js
D3.js
Webmapper
Waag Society
Maptime Amsterdam
Maptime Utrecht
Maptime IO
Code Academy
tutorials of Scott Murray
Noah Veltman
Mike Bostock
Giphy
BFRO
Alan McConchie
Beth Schechter


Virtual Keyboard Settings
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<
English (QWERTY)
Behaviour
Time when the DOM should be rescanned for Inputs
Enable Caps Lock
Enable Intelligent Auto-Scrolling (Scrolls the page automatically when a text field is in focus)
Enable Auto letter/character Repetition
Use Touch events instead of Mouse events
Enable Auto Clicking via Mouse Hover
Trigger auto clicking after:
Enable Auto Clicking via Mouse Hover on Anchor tags (Links)
User Interface (UI)
Enable Hardware Acceleration
Enable Toggle Keyboard page action (Keyboard icon in URL bar)
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Credits
Stuart Wright
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Shaun Tabone


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CRC Interference and YOU. A comprehensive guide:
Our tools are setup up with G41/42 on Tool Center, whatever that means:
Well, I know it means the final depth and the tool diameter and all that in AlphaCAM matters, then the values at the CNC will augment whatever
AlphaCAM says. Basically the tool diameter is supposed to be in the program and you're just supposed to tweak it at the CNC with small values.
I think on The Park Industries I used to run the tools were all set up with Machine Comp (G41/42) in which case the machine completely ignored
AlphaCAM and you had to put the tool diameter in at the CNC. Not sure if I remember that right but I think you could put a diameter of two miles
in AlphaCAM and it would make no difference.
So whatever, this guide is only for G41/42 on Tool Center where both the values stored in AlphaCAM and in the CNC are used.
© Copyright 2018 by laconiclizard


React was first released on May 29, 2013, and is now the most popular library for front end web development. But how did it become so popular and why do so many developers today use it on such a regular basis? In the following peace of line I will share with you 4 reason that makes attached to this Facebook Child
1-Virtual DOM
Working with Vanilla Javascript was cool , but one point that I have been always critisizing is the refesh page that we see while navigating in the webiste
First , let me tell you a little bit about DOM (Document Object Model) , you can think of it as a place wehere all the object of a web page are stored in a tree-like structure
JavaScript have to reload all the Real DOM , so he can update one elemenet of it , that's why you have to load your page to see that you profile name is Succefully changed in the website , until the React comes in
Now, you can Imagine Virtual DOM like a copy of the DOM ,but the virtual DOM doesn’t actually change anything that you see on the screen which is why it’s so fast. Essentially, the virtual DOM is like taking a screenshot of the real DOM and then saving it later.
Once the virtual DOM updates, it compares the updated version with a previous version of the virtual DOM. React then compares both versions of the virtual DOM to see what has changed through a process known as diffing and only applies those changes to the real DOM.
2-JSX
Jsx (JavaScript Xml) is a unifide syntax that makes web development much easier , becasuse it actuality combine Regular HTML and Javascript and put them both in same package
As you can see , "hello Jhon Doe" is what will be displayed on page , with jsx you can write function write logical script , use while , for loop , if else .....
You’ll notice that we still use camel case when using JSX, this is because JSX is still more similar to JavaScript than
it is to HTML
you can learn more about Jsx in React officiall documentaion React officiall documentaion
Placeholder text by Space Ipsum. Photographs by NASA on The Commons.
3-React is a Library
Over the past few years, React has exploded in popularity and is now the #1 JavaScript library out there today. Take a look at how React stacks up against other libraries and frameworks that are also popular
As you can see, there’s basically nobody who hasn’t heard of React and only a small percentage of those don’t have an interest in it or wouldn’t use it again. React’s popularity comes from its speed (Virtual DOM), reusable components, easy learning curve, and its developer tools and support. This also means that if you’re looking for employment, React is going to be your best choice when it comes to other libraries and frameworks out there
5-Mobile Apps With React Native
Although it’s not exactly the same as React, React Native allows you to create mobile apps for both Android and IOS. The syntax isn’t exactly the same as regular React, however, React Native is still extremely similar and won’t take you long to learn if you’re already familiar with React or even just plain JavaScript. If you don’t have a Mac and have an interest in creating mobile apps for IOS, then React Native is for you. React Native can also be used for developing for both IOS and Android simultaneously and is written with JavaScript and JSX just like regular React. React Native was released back in 2015 and is still somewhat new and has lots of room to be improved and expanded on


{% extends parent_template|default:"user/base_profile.html" %} {% block title %} {{ block.super }} | User Profile {% endblock %} {% block page_heading %} User Profile Details {% endblock %} {% block page_subheading %} {% endblock %} {% block page_breadcrumb %}
Services for which you have registered to receive notifications
You currently haven't registered to receive notifications for any services. Click the register button below to select services for which you would like to receive notifications.
{% endfor %} {% endwith %}


Doctor Lookup
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ÁVision Build Log
Tool Versions:
IDE-Version: Ž╠Vision V5.14.2 Copyright (C) 2015 ARM Ltd and ARM Germany GmbH. All rights reserved. License Information: TcAt Microsoft, Microsoft, LIC=---- Tool Versions: Toolchain: PK51 Prof. Develpers Kit Version: 9.54 Toolchain Path: D:\app\dev_tools\keilC51\C51\BIN C Compiler: C51.exe V9.54 Assembler: A51.exe V8.02c Linker/Locator: BL51.exe V6.22 Library Manager: LIB51.exe V<IP_ADDRESS> Hex Converter: OH51.exe V<IP_ADDRESS> CPU DLL: S8051.DLL V<IP_ADDRESS> Dialog DLL: DP51.DLL V<IP_ADDRESS>Project:
C:\Users\TcAT\OneDrive\smt_switch\smt_switch.uvproj Project File Date: 10/11/2015Output:
Build target 'Target 1' compiling keys.c... compiling time.c... linking... *** WARNING L16: UNCALLED SEGMENT, IGNORED FOR OVERLAY PROCESS SEGMENT: ?PR?_DELAY?MONITOR *** WARNING L16: UNCALLED SEGMENT, IGNORED FOR OVERLAY PROCESS SEGMENT: ?PR?TIMER_STOP?TIME Program Size: data=69.0 xdata=0 code=1273 creating hex file from ".\Objects\smt_switch"... ".\Objects\smt_switch" - 0 Error(s), 2 Warning(s).


Enviroment
Dairyvative Technologies' SEVENx Technology can make a significant impact on the carbon footprint of the dairy industry. The SEVENx process utilizes low temperatures and requires less energy for manufacture, reduces the amount of packaging, eliminates the need for refrigerated distribution and storage, and reduces shipping by 84%. With the reduced cost of shipping, it becomes feasible to locate dairy herds away from population centers where the herds can graze, further reducing the carbon footprint compared to cows that are grain fed.
Life Cycle
The Innovation Center for US Dairy completed a comprehensive life cycle analysis of the carbon footprint of milk in 2012 to quantify the amount of greenhouse gases generated in producing 1 kilogram of milk. They determined that 2.05 kilograms of CO2 equivalents are required to deliver one kilogram of milk from the processing plant to the consumer, using all of the current distribution platforms. The report called on the dairy industry overall to create more sustainability initiatives.
SEVENx uses state-of-the-art technology to efficiently remove the water with evaporators using mechanical vapor recompression (MVR). MVR recycles the steam allowing it to be re-used 200 times. This results in enormous energy savings and a product that is 7-9x (v/v) in concentrate. As a result, this milk concentration process uses only a fraction of the resources required for any other type of milk concentrate.
The life cycle analysis report compiled by the Innovation Center for US Dairy concluded that present technology was already doing an excellent job of delivering milk products to the consumer. SEVENx technology offers the dairy industry the opportunity to further reduce green house gas emissions on long hauls by 84% simply by reducing the number of tankers seven fold. This does not account for reduced wear and tear on roads.
The standard contemporary dairy produces more than 500% of the greenhouse gases than would a dairy using SEVENx technology to concentrate milk on the farm. A farm with roughly 3000 cows would reduce the weekly number of milk tanker shipments from 36 to 6. The SEVENx process in addition would return 40% of the water needs back to the farm.
A complete conversion of the dairy industry to SEVENx technology could reduce the carbon footprint of milk from 2.05 kilograms down to roughly 0.4 of a kilogram.


'3 Black Chicks Review...'
Any Given Sunday (1999) Rated R; running time 165 minutes Genre: Drama IMDB site: http://us.imdb.com/Details?0146838 Official site: http://www.anygivensunday.net/ Written by: John Logan (based on the novel by Rob Huizenga) Directed by: Oliver Stone Starring: Al Pacino, Jamie Foxx, Cameron Diaz, Dennis Quaid, James Woods, LL Cool J, Matthew Modine, Ann-Margret, Aaron Eckhart, John McGinley, Jim Brown, Bill Bellamy, Lawrence Taylor, Lauren Holly, Lela Rochon, Clifton Davis, Charlton Heston
[Author's note: Just as I noted in my review/analysis of "The Best Man", I offer the following disclaimer: the text below is something more than a "standard" review. Purposefully, I wanted to do more than just say "I liked this movie" or "I didn't like this movie", as "Any Given Sunday" struck me on a different level than "just another movie". To that end, the following is much more detailed, story-wise, than those who have not yet seen the movie, may want to read; it is more a film analysis, I suppose, than a straight review. The reader is referred to read small snippets of both my and The Diva's opinion on this flick on "Movie Bytes", as well as reading her separate "Any Given Sunday" review (and even if you don't mind my spoilage, read it anyway, on its own merits).
So don't say I didn't warn ya...]
 Which is to say, I can't stand pro football (or, for that matter, most other pro sports).
So why am I reviewing the football flick "Any Given Sunday", hmmm? Hmmm...
The Story (WARNING: **spoilers contained below**): "On any given Sunday, any team can win or lose". Such is the type of platitude spouted by Tony D'Amato (Al Pacino), the tired, worn-out coach of the Miami Sharks pro football team. A so-so team that's seen its glory days behind it and is fading fast, the Sharks chances of making it to the playoffs are threatened by the injury of aging veteran quarterback Jack "Cap" Rooney (Dennis Quaid)--who, along with Luther "Shark" Lavay (former real-life football player Lawrence Taylor) was already considered to be expendable by owner Christina Pagniacci (Cameron Diaz in a tour-de-force role), a no-nonsense hard-hitter who inherited the team from her late father, who was also Tony's old compatriot.
The Upshot (WARNING: **more-than-usual spoilers contained below**): This flick opens with a quote by legendary football coach Vince Lombardi, who compares football players to warriors--and this theme is advanced throughout the movie by D'Amato and others. "Not an auspicious start to this flick," thought I; "these overpaid boys (and girls, as in the case of owner Pagniacci) owe an apology to the real warriors of the world for being so full of themselves to make such ridiculous comparisons." But that's another rant for another time...
Fortunately, I was distracted from that rant by the opening images of the Sharks and their opponents; director Oliver Stone (who, casting himself as a football announcer, might have found a new calling) and his cinematographer grabs the viewer right off the bat with the MTV-like cuts from the field to the stands to overhead shots of the stadium and back; similar photography is shot throughout a great deal of the movie. In the hands of a lesser (younger?) cast and director, this camerawork might've shown the emptiness under the window dressing; but here, it emphasizes the storyline--to the deficit of the traditionally-shot, slower parts of the story. Those bits dragged the flick down more than they would have in "normal" situations, and made the time more noticeable.
But again fortunately, the "drag" times were few and far between. The story was a standard one, pitting Old School (D'Amato, Cap, and Julian--yes, Julian; a flashy showboater, to be sure, but still respectful of the old ways) versus New Jack (Pagniacci, Nick, and Beamon) in a "duh, we knew that" parable (Owners are greedy fat cats who only care about the bottom line: "Mo' Money"; older Players are grizzled rich men who Do It For The Gipper; younger Players are spoiled rich boys who Do It For The Benjamins--and the adoring fans, who keep giving them The Benjamins; team doctors just wanna Pump You Up). But the story is told in a fresh, non-straightforward way that keeps the audience's attention for the most part; and though most of the characters lines are drawn early on, with the exception of Matthew Modine's Dr. Oliver Powers--a "goody two-shoes" doctor who fronts Dr. Mandrake about his ethics--few, if any of the characters have a surplus of redeeming qualities (and even Powers' "goodness" is called to question late in the movie).
Indeed, the best part of the telling of "Sunday" lies in the "Badness" of the characters: D'Amato is a frightened has-been with narrow vision; Pagniacci Has No Heart; Washington can't hold on to the ball in his anxiousness to get to the next page in the record books; Shark has more brawn than brains when it comes to his health; Beamon gets the big head and disses his teammates and his girlfriend, Vanessa Struthers (Lela Rochon, a long way from her Siren of "Waiting To Exhale"--but, though a bit more chunky, still pretty); Mayor Tyrone Smalls (Clifton Davis), a Black man, is shown as questionably dirty as any White politician might be (more on the importance of that in "The Black Factor"); assistant coach Montezuma Monroe (Jim Brown, in another standout role) doesn't pamper his players one iota, calling their manhood into question at the drop of a hat; in a small, but noticeable bit, Cap's wife Cindy (Lauren Holly) shocks us with her bitchitude; and so on. Not many totally redeeming qualities in this bunch. And up to the point where Pagniacci and Beamon See The Light, I grooved on their Badness.
Unfortunately, Logan almost blew the lead the story had in the first three quarters, in a "delay of game" snoozer of a last quarter. Having told more here than I'd intended to, I won't fumble the ending except to say that, considering what happened in the steam room scene, I came to expect the ending that played itself out. And, I find I need to qualify the above sentiment: though the last quarter of the flick was disappointing, D'Amato's action in the last scene was excellent, showing glimpses of the heat that Al Pacino once had oozing through his acting pores but now seems to have lost as he's grown older (I preface this with the admittance that, not having seen "The Insider" yet, I don't know whether Pacino's tiredness throughout in this movie was indicative of his acting chops as of late, or just being intentionally in-character).
Though the photography and direction were great, the members of this large cast were just as important to this flick. As noted above, Foxx, Diaz, and Brown were superb; Pacino and Quaid, though solid, played as "old" as they looked, Quaid almost to the point of being there to just pass Go, collect $200 (plus a percentage of the receipts). If I hadn't seen the execrable "True Crime", I might've given Woods some play here; but since he's playing the same one-note character here that he did in that movie, his just-short-of "over the top" acting gets no love from this reviewer; Bill Bellamy (as wide receiver Jimmy Sanderson) made me smile with his pep talk to himself, though he was far overshadowed by Foxx and LL Cool J (who, himself, I saw as being excess luggage here). But on a sour note, as the constantly-soused Margaret Pagniacci (Christina's wacky mother), Ann-Margaret was just irritating; I was too oft reminded of whazhername's character on "Overboard" (a wholly forgettable Goldie Hawn/Kurt Russell flick that I can't be arsed to look up on the IMDB; trust me, it ain't worth the effort). And is it just me, or did the appearance of a movie clip actor Charlton Heston was featured in, blow any currency his Commissioner character, could've had?
If you're like me, the players (on and off the field) in "Any Given Sunday" won't elicit any sympathy--and neither will their counterparts in real life: oh, he didn't make a kabillion dollar bonus for kicking the most punts in a season? boofrigginhoo; what, she was made to jump off a short pier after her lame team didn't clear .500? good; serves her right. But the story here was told well enough to let me leave my cynicism about the Games grown folk play, on the sidelines for three hours (and by the way, it is a coincidence that this movie lasted damn near as long as a real pro game would? Hmmm...)
The "Black Factor" [ObDisclaimer: We Are Not A Monolith]: I can't speak highly enough of Jamie Foxx in his role in this flick; though I knew he was funny and talented from his "In Living Color" days [nota bene, Hollywood: Jim Carrey wasn't the only one in that cast. But they don' hear me doe...], and I've thus far managed to miss him in that show of his on the WB (aka, The Ghetto Network), the depth of his acting here really made me sit up and take notice. Funny in the right spots ("My Name Is Willie" had me rollin') but serious in others, he smoked Pacino in their breakfast scene together, and had some good stuff to say about the role of Black athletes--something that's been a long time in coming to be voiced on-screen. But is anyone listening?
Another BF moment that stood out in a movie full of them, had to do with the characterization of the Mayor by Clifton Davis. It is the stigma of the dearth of Black roles in movies, that when a Black person is shown, it's generally in either a comedic role, or as the Bad Guy. That the Mayor could be played as a (questionably) Bad Guy here, was a bold move on the movie makers parts, I think; though there might be an outcry of "stereotyping!" by some Blacks, the sad reality is that there are some slimy Black politicians out there, just like their slimy White counterparts. Forget spending all this energy on getting rid of the movie bad guys, dump the ones in real life, eh?
And I'm surprised that I've made it this far without mentioning that remarkable young man in the locker room, who didn't say much but whose mere presence said a mouthful. I'll try to be good, but I don't know how much longer I'll be able to keep it up.
Bammer's Bottom Line: It appears that long movies are becoming the norm these days: in the past few weeks, I've watched 10 hours between only four movies ("The Green Mile": 3 hrs. 15 min.; "Bicentennial Man": 2 hrs. 25 min.; "Stuart Little": 1 hr. 34 min.; and "Any Given Sunday": 2 hrs. 45 min.), with mixed results (my time in "Green" felt like a picnic compared to the torturous "Stuart"). Which goes to show that shorter is not necessarily better--but longer daggone bet' have a good reason for being so long.
For the most part, "Any Given Sunday" used its time well. It could've stood a more careful snip or two in the editing box (and a little less ham-handedness during Beaman's and Christina's Obligatory Awakenings), but the excellent cinematography, tight cast, good soundtrack with more than just the usual Urban Contemporary song stylings offered (and yet, I must take issue with one of the "songs" featured during the game with the Rhinos, a rap number that prominently featured the phrase "my nigga". When, My People? When? sigh), and the great ending scene, made the time watching grown folk play their Games, time well-spent. And did I mention bru-man in the locker room? woo lawd.
"Any Given Sunday": (rating: greenlight) We have most def entered the MTV Generation of moviemaking (though including Oliver Stone in that description is a tenuous connection at best), where quick cuts and "special effects" rule the day in the movie theater. What "Any Given Sunday" has that most MTV-esque flicks lack, though, is a mostly compelling story line (throughout the first 3/4, anyway), good acting (specifically from Jamie Foxx, Cameron Diaz, and surprisingly, Jim Brown) and an uncredited three-legged fella who has to be seen to be believed.
3 Black Chicks...Movie Reviews With Flava! /~\ Rose "Bams" Cooper /','\ 3BlackChicks Enterprises /','`'\ Copyright Rose Cooper, 1999 /',',','/`, EMAIL<EMAIL_ADDRESS>ICQ: 7760005 `~-._'c / http://www.3blackchicks.com/ `\ ( http://www.dealpilot.com/?partner=1987 /====\
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THE GREEN MILE RATING: 4 /10 --> This movie sucks
For more reviews and movie screensavers, visit http://www.joblo.com/
Five years after his directorial debut based on Stephen King's writings called THE SHAWSHANK REDEMPTION (9/10), writer/director Frank Darabont returns to the big screen with another prison film based on the famous scribblings of Stephen King. Unlike the latter film, this one is a big, long, laborious bore.
PLOT: A seven-foot death row inmate is discovered to have secret healing powers.
CRITIQUE: This film is slow, drawn-out, boring, uninteresting, unexciting, predictable and topped with a couple of one-dimensional "evil" characters. Its only positive attribute lies in its actors who all do credible jobs and its message of hope and belief in miracles. The real miracle of my night was the fact that I did not fall asleep during this straightforward, unimpressive film about a guy with special powers who we never truly understand or care about.  And let's not forget all the guards on death row, who also happen to be angels from the Heaven above, except for one cookie-cutter crazy guard who is also evil personified (and is there any reason why there are about six guards when there appears to be no more than three inmates???). Am I supposed to identify with anyone in this film?  Well, if I was, I sure missed that boat, because the only thing that I ended up caring about during this entire picture was the obscene amount of fat that Tom Hanks has been able to burrow under his loose chin.
Furthermore, there is absolutely no reason in the world why director Frank
Darabont needed to take three hours and ten minutes out of anyone's life to
present this story. In fact, the story is empty within itself. I truly did
not get anything out of the film other than the fact that there is a guy on
death row who has special powers to heal, and we are left wondering if he
should still be executed or not. Wow. How interesting
Review Date: December 10, 1999 Director: Frank Darabont Writer: Frank Darabont Producers: Frank Darabont and David Valdes Actors: Tom Hanks as Paul Edgecomb David Morse as Brutus Howell Michael Clarke Duncan as John Coffey Genre: Drama Year of Release: 1999 --------------------------------------- JoBlo's Movie Emporium http://www.joblo.com --------------------------------------- (c) 1999 Berge Garabedian
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Research in Heliophysics requires information from multiple sources which includes data from and about spacecrafts, groundbased observatories, models, simulations and more. The results from research are also invaluable in building up a body of knowledge and need to be available. All the different sources and types of information are considered a "Resource". The Resources exist, are shared, exchanged and used in a framework called the "data environment". The SPASE (Space Physics Archive Search and Extract) group has defined a Data Model which is a set of terms and values along with the relationships between them that allow describing all the resources in a heliophysics data environment. It is the result of many years of effort by an international collaboration of heliophysicists and information scientists to unify and improve on existing Space and Solar Physics data models. The intent of this Data Model is to provide the means to describe resources, most importantly scientifically useful data products, in a uniform way so they may be easily registered, found, accessed, and used.
The Data Model provides enough detail to allow a scientist to understand the content of Data Products (e.g., a set of files for 3 second resolution Geotail magnetic field data for1992 to 2005), together with essential retrieval and contact information. It also allows for the incremental annotation of resources with expert assessments and the free association of resources to create bundles or networks of resources. Resource descriptions can be stored with the data or at remote locations. Sites can harvest the resource descriptions to enable services like a search engine or portal (Virtual Observatory). A typical use would be to have a collection of descriptions stored in one or more related internet-based registries of products; that can be queried with specifically designed search engines and ultimately link users to the data they need. The Data Model also provides constructs for describing components of such a data delivery system. This includes repositories, registries and services.
The SPASE group website is located at https://www.spase-group.org/
A PDF version of this document can be downloaded from the SPASE site.
The SPASE (Space Physics Archive Search and Extract) Data Model is a set of terms and values along with the relationships between them that allow describing all the resources in a heliophysics data environment. It is the result of many years of effort by an international collaboration (see https://spase-group.org) to unify and improve on existing Space and Solar Physics data models. The intent of this Data Model is to provide the means to describe resources, most importantly scientifically useful data products, in a uniform way so they may be easily registered, found, accessed, and used.
The SPASE data model divides the heliophysics data environment into a limited set of resources types. A key resource type is Numerical Data. This type of resource typically consists of a set of files containing values of one or more physical variables and that differ from each other only by the time span. To fully describe a Numerical Data resource requires other types of Resources, namely Observatory, Instrument, Person, and Repository, whose names are self-explanatory, and each of which has its own set of attributes. Often, numerical data are presented in prepared images (gif or jpeg), and such presentations are referred to as Display Data resources. The other data related resource types are Catalog which are lists of events; Annotation which enable expert comments on data products; and Granule which describe individual files within another resource (i.e., Numerical Data, Display Data or Catalog). Other types of resources include Document which can contain narratives or supporting information; Service that provide software to use data resources; Repository for storage locations; and Registry for metadata collections. Resource descriptions and the links in them are intended to make the Resource useful to scientific users.
The data model presented here has grown from the efforts begun in 2002 that became formalized in regular teleconferences of a group of interested data providers, including scientific and technical representatives of some of the largest data holdings in the US, Europe, and Japan. As the effort to provide seamless access to distributed data proceeded, it became clear that the data model efforts were central. The SPASE Data Model was developed with an iterative process where additions were made when unaddressed needs were discovered. The original impetus occurred at an ISTP meeting in 1998 where a resolution was passed calling to make data more accessible. Interoperability test beds were constructed in 2001 and in 2002 a grassroots effort was undertaken to define the needs of community. In March of 2003 a meeting of many of the people in the Contributors list at the beginning of this document was convened to begin the data model construction in earnest. The initial effort involved collecting terms from CDPP, SWRI, NSSDC, ISTP, and other sets to form a starting point. Two years of teleconferences, e-mailed revisions, and occasional face-to-face efforts, along with the application of the terms to specific cases, led to the release of version 1.0 of the data model in November 2005. Following the release of version 1.0 many existing data products were described and lead to further improvements of the data model. Version1.1 was released in August 2006. At this time NASA established the Heliophysics VxOs and after an extended period of use and improvements version 1.2.2 was released in August of 2008. The version of the data model described in this document is an extension of this earlier release.
The design of the SPASE data model is based on a core set of principles related to the intended purpose of descriptive information (metadata), the data environment, and the operational environment. The overall goal of the Data Model is to be able to describe resources using a taxonomy of terms familiar to the heliophysics domain. This taxonomy should provide sufficient scientific context and data content information for an individual to assess the applicability of the resource (data and metadata) to a research question. A data model is the cornerstone of an information system and one purpose for the SPASE Data Model to enable the creation of "Virtual Observatories" that will link the broad range of heliophysics resources which may be available in a loosely coupled distributed environment. Additional goals of the data model are to:
The content of a resource description based on the data model should enable services (either at the provider or in a VxO) to discover and access individual resources. The service layer can contain services for a variety of purposes. The basic functionality of the service layer is to provide the links necessary to connect user applications and search- and-retrieval front ends to data repositories. Ultimately, the data environment based on the data model will involve a number of software tools and services linked together as an internet-based environment. The data along with software tools and documentation associated with products will be directly accessible using standard web protocols (http, ftp). This "system" has the potential to provide capabilities that can aid even expert users of a particular dataset (e.g., on-the-fly coordinate transformations, the ability to merge datasets from different instruments, easy reference to related indices or other data), in addition to providing the broad access needed to investigate emerging questions in heliophysics.
The design of the SPASE data model begins with a few basic principles. These principles are:
Data resources have internal schema or structures for storing values. The physical structure is determined by the storage format. Each retrievable entity on the format is assigned a key or tag which can be used to retrieve the entity.
The SPASE Data Model does not attempt to describe the physical storage of the parameters, for example, the byte offsets, record format or data encoding in the data resource. Instead, the SPASE Data Model describes the scientific attributes of the parameter and links this to the parameter by a key or tag used by the storage format. Applications can use the SPASE descriptions to locate a parameter and the appropriate format-specific reader to extract parameters.
Not all data in the Heliophysics data environment is stored in self- documented formats. For example, data stored as ASCII tables. The method of assigning a key or tag name for each field in the ASCII table is external to the SPASE data model. This method must be part of an "format" specification which may be as simple as the first row of the table containing the tag name of the field.
There are many providers of resources and these providers can be located anywhere in the world.
Each provider operates independently and activities are not necessarily coordinated. The SPASE data model assumes that providers have local autonomy and may operate under local rules or jurisdictions.
If a resource is on-line it can be accessed and retrieved using Universal Resource Locators (URL).
New resources are actively generated either as part of an on-going experiment or as a result of analysis and assessment.
These new resources may be directly related to other resources. As new resources are generated or new associations defined the network or collections formed will expand over time.
The data model is intended to enable the sharing of knowledge through structured metadata (SPASE Descriptions) which can be exchanged in queries and responses between systems. The operational environment this occurs in is the current Internet where systems and users are loosely coupled and highly distributed. Special services or portals may harvest (collect) the SPASE descriptions from multiple sources to create an enriched capability for the user. For example, a search engine may provide a comprehensive search for a particular scientific discipline. The web site https://hpde.gsfc.nasa.gov gives a guide to many currently active projects and a great deal of background information. Of particular interest there is the document entitled, "A Framework for Space and Solar Physics Virtual Observatories."
Figure 1 illustrates a conceptual architecture in a distributed environment. In this environment multiple communities have resources to share. The storage location of a resource is called a repository. Some of these repositories (boxes) have local SPASE descriptions which are available through a local registry service (balls). The contents of other repositories are described at external, possibly independent, locations which make the descriptions available through remote registries. Gateways (rings) can harvest and aggregate the resources from multiple registries or perform federated searches which provide a single access point to multiple registries. Applications access the registries to discover resources, determine their location and retrieve them from the repositories.
The top level entity in the SPASE data model is a Resource. There are 12 different types of resources. Each resource type consists of a set of attributes that characterize the resource. The resource types can be divided into three categories: Data Resources, Origination Resources and Infrastructure Resources.
This section provides an overview of the resource types. Complete details for each resource can be found in Section 4.
Data Resources describe one or more data products. A "data product" is a set of data that is uniformly processed and formatted, from one or more instruments, typically spanning the full duration of the observations of the relevant instrument(s). A data product may consist of a collection of granules of successive time spans, but may be high-level entities such as event catalogs. Data products can be images (Display Data), sample or observation values (Numerical Data), event lists (Catalog). Included in the Data Resource category are the resources used to describe individual files (Granule) which are part of data product sets and assessments of a resource (Annotations). The complete list of Data Resources is:
Origination Resources describe the generators or sources of data. Included in a Data Resource description is information about the origination of the data. A Data Resource will refer to one or more Origination Resource. The complete list of Origination Resources is:
Infrastructure Resources describe system components that are part of the exchange and use of data. This includes storage locations for data (Repository), metadata (Registry) and functions (Service). The complete list of Infrastructure Resources is:
In the SPASE data model there can be associations between pairs of resources. Some associations are specific and are required in order to fully describe a resource. For example, an Instrument resource is always associated with an Observatory resource. The specific associations form an ontology which is illustrated in Figure 2. The SPASE data model also allows associations of resources which are not explicitly defined in the ontology. These associations are described and assigned a relationship type using generic association attributes.
Every resource has a unique identifier so that it can be tracked and referenced within a system. This identifier is defined by the naming authority for the resource. The entity which acts as the naming authority is determined by the agency or group who provides the resource. Each resource identifier is a URI that has the form
where "scheme" is "spase" for those resources administered through the SPASE framework, "authority" is the unique identifier for the naming authority within the data environment and "path" is the unique local identifier of the resource within the context of the "authority". The resource ID must be unique within the data environment.
To illustrate the definition of a resource identifier consider that there is a registered "authority" called "SMWG" which maintains information for spacecraft (Observatory) resources. One such spacecraft is GOES8. Now "SMWG" decides that the "path" to the GOES8 resource description should include the Resource Type as part of the path and that the observatory "name" will be "GOES8". So, the resource identifier would be:
The Resource ID is used to formally or informally associate one resource with another. For example an Instrument resource must be formally associated with an Observatory. A Numerical Data resource may be formally associated with an Instrument resource and informally associated with other Numerical Data resources. The free association of resources allows networks or collections to be formed from distributed resources and allows for new associations to be formed as needed without affecting existing associations.
While descriptive text may be brief, some formatting of the text may be necessary to convey the necessary information, for example, multiple paragraphs or nested lists. To ensure system portability text values in SPASE are sequences of alphanumeric one byte UTF-8 (US_ASCII) characters with white space preserved. When text is displayed in some applications (a web browser is the best example) a strict preservation of white space may not result in a desirable presentation. Also, to make the metadata more human readable (for example in XML) additional white space may be introduced in the form of indentation. If strictly preserved, this could result in an undesirable presentation. To allow an author to express a preferred layout for the text, a special set of text "mark-up" rules are defined. The layout can then be determined by normalizing the text and applying a simple set of interpretation rules.
To aid in determining the layout or structural intent of the author the following rules are to be applied to text to create a normalized form:
After normalization of text the following rules can be used to interpret the layout intent of the author.
The SPASE Data Model allows for additional metadata to be embedded within a SPASE description. Every Resource Type has an "Extension" element which can contain metadata compliant with other data models. The "Extension" element has a SPASE data model type of "Text", but is not limited to alphanumeric characters and may contain tagged information.
The following sections describe the details of the SPASE Data Model, especially the metadata used to describe data. There is a richness in the available metadata that allows very detailed descriptions of products. Many of the types of metadata may not apply in your case or you may not need much detail to adequately describe your data holdings. But it must be remembered that the better data are described, the easier they will be to use.
To determine what level of detail is needed, we recommend considering not only what the user needs to find the correct data, but also what is necessary to know if the data will be useful for the requestor's purpose. The user might get this information by contacting you, but if the data were moved somewhere else and only the data description were available to determine the utility of the data, consider if the user would have sufficient information to know if this is the right data set and what problems might be associated with the use of these data. Also consider if additional documentation is neccesary and if so create an Document resource and associate it with the data resource. An "Information URL" may also be used to provide links to more detailed information.
In summary, products need not be described in minute detail, but users will need, at minimum, information for assessing what the data products represent and where to find them. Of course it is also useful to include information on how the data can be applied and common pitfalls in their use, but the first need is to make the products usefully visible.
As an example let us describe a person using SPASE metadata. This person is "John Smith" from Smith Foundation. While the SPASE data model is implementation neutral, XML representation is preferred. This example uses the SPASE XML form.
<?xml version="1.0" encoding="UTF-8" ?> <Spase> <Version>2.0.0</Version> <Person><EMAIL_ADDRESS><PersonName>John Smith</PersonName> <OrganizationName>Smith Foundation</OrganizationName> <Address>1 Main St., Smithville, MA</Address><EMAIL_ADDRESS><PhoneNumber>1-800-555-1212</PhoneNumber> </Person> </Spase>
For a more extensive example let us consider a collection of numerical data from the magnetometer on the ACE spacecraft. This data set has been averaged to 1 minute intervals (cadence) and spans the beginning of the mission to the end of 2004 (1997-09-01 through 2004-12-31). The ACE spacecraft orbits the L1 point between the Earth and the Sun. While the SPASE data model is implementation neutral, XML representation is preferred. This example uses the SPASE XML form. The presented URLs are fictitious and will not direct you to the actual data.
<?xml version="1.0" encoding="UTF-8" ?> <Spase> <Version>2.0.0</Version> <NumericalData> <ResourceID>spase://VMO/NumericalData/ACE/MAG/200301</ResourceID> <ResourceHeader> <ResourceName>ACEMAG200301</ResourceName> <ReleaseDate>2006-07-26T00:00:00.000</ReleaseDate> <Acknowledgement> User will acknowledge the data producer and instrument P.I. in any publication resulting from the use of these data. </Acknowledgement> <Description> ACE MFI 1-minute averaged magnetic-field data in GSE coordinates from Jan 2003. These data have been derived from the 16 second resolution ACE MFI which were linearly interpolated to a 1-minute time grid with time stamps at second zero of each minute. </Description> <Contact> <Role>PrincipalInvestigator</Role> <PersonID>spase://SMWG/Person/Norman.F.Ness</PersonID> </Contact> <Contact> <Role>Co-Investigator</Role> <PersonID>spase://SMWG/Person/Charles.Smith</PersonID> </Contact> <Contact> <Role>DataProducer</Role> <PresonID>spase://SMWG/Person/James.M.Weygand</PresonID> </Contact> </ResourceHeader> <AccessInformation> <AccessRights>Open</AccessRights> <AccessURL> <URL>http://www.igpp.ucla.edu/getResource?format=text&id=spase://UCLA/ACEMAG200301</URL> </AccessURL> <Format>Text</Format> <Encoding>GZIP</Encoding> </AccessInformation> <InstrumentID>spase://SMWG/ACE/MAG</InstrumentID> <MeasurementType>MagneticField</MeasurementType> <TemporalDescription> <TimeSpan> <StartDate>1997-01-01T00:00</StartDate> <StopDate>2004-01-31T23:59</StopDate> </TimeSpan> <Cadence>PT1M</Cadence> </TemporalDescription> <InstrumentRegion>Heliosphere.NearEarth</InstrumentRegion> <ObservedRegion>Heliosphere.NearEarth</ObservedRegion> <Parameter> <Name>SAMPLE_TIME_UTC</Name> <ParameterKey>time</ParameterKey> <Description> Sample UTC in the form DD MM YYYY hh mm ss where DD = day of month (01-31) MM = month of year (01-12) YYYY = Gregorian Year AD hh = hour of day (00:23) mm = minute of hour (00-59) ss = second of minute (00-60). </Description> <Support> <SupportQuantity>Temporal</SupportQuantity> </Support> </Parameter> <Parameter> <Name>MAGNETIC_FIELD_VECTOR</Name> <Units>nT</Units> <CoordinateSystem> <CoordinateRepresentation>Cartesian</CoordinateRepresentation> <CoordinateSystemName>GSE</CoordinateSystemName> </CoordinateSystem> <Description> Magnetic field vector in GSE Coordinates (Bx, By, Bz). </Description> <Field> <Qualifier>Vector</Qualifier> <FieldQuantity>Magnetic</FieldQuantity> </Field> </Parameter> <Parameter> <Name>SPACECRAFT_POSITION_VECTOR</Name> <CoordinateSystem> <CoordinateRepresentation>Cartesian</CoordinateRepresentation> <CoordinateSystemName>GSE</CoordinateSystemName> </CoordinateSystem> <Units>EARTH RADII</Units> <UnitsConversion>6378.16 km</UnitsConversion> <Description> ACE spacecraft location in GSE coordinates (X,Y,Z)." </Description> <Support> <SupportQuantity>Positional</SupportQuantity> </Support> </Parameter> </NumericalData> </Spase>
Each element in the SPASE Data Model has a data type. One design feature of the SPASE data model is that an element can contain either a value or other elements. Mixed content (elements and values) are not allowed. This allows the data model to be implemented in a wider range of metadata languages. The following data types are supported:
{{#each data.type}}Lists are either "open" or "closed". The items in a "closed" list are determined by the SPASE model and definitions of each item is in the SPASE data dictionary. The items in an "open" list are determined by an external control authority. The URL for the control authority is indicated in the definition of each "open" list.
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Throughout this Google Summer of Code project I, along with my mentors, aimed to create a Wrapper for the FEniCS Finite Element Toolbox in the Julia Language. Our work done can be found at FEniCS.jl . This would allow users to perform FEM calculations directly in Julia, utilizing our PyCall.jl wrapping functionality. We currently have wrapped the main functionality, along with providing the necessary instructions to add further components when they are deemed necessary. Members of the Julia community not directly related to the project also contributed small fixes and suggestions throughout the project. The majority of the code produced has already been merged to the GitHub repository (which was created specifically for this project). One of the main improvements which would greatly increase its usage would be the further integration with the JuliaDiffEq package.
FEniCS describes itself as a popular open-source (LGPLv3) computing platform for solving partial differential equations (PDEs). FEniCS enables users to quickly translate scientific models into efficient finite element code, i.e. it allows us to describe (some) complicated mathematical equations and solve them automatically using computer simulations.
The finite element method is a numerical method that solves partial differential equations by solving the weak form of a Galerkin approximation of the function into some sparse basis. This is done by discretizing the domain (breaking it up into small pieces, generally triangles called finite elements), representing the function via the values at the nodes of the triangles. This results in a system of equations which are an interpretation of the initial partial different equations in terms of the basis of these triangles. This is nearly impossible to do by hand, so computer software is required to aid in solving it. Our wrapper provides calls to the meshing functionality, the assembly of the stiffness matrices and the solution of the variational problems. It also provides access to various helper functions, that make usage easier. Some example meshes can be demonstrated below :
We currently provide macros to create Julia types from FEniCS classes to assist with function overloading. Apart from this we can wrap attributes and combining these two with PyCall.jl functionality we can wrap the necessary functions directly from FEniCS. We define methods for performing some linear algebra operations, and define operator functions ` +,-,* ` for various geometric objects and UFL forms. Our exported API remains approximately the same as the pythonic FEniCS with only very slight changes.
Below is a small demonstration of how a user would use our code to solve the Poisson equation with Dirichlet conditions. This directly mirrors one of the tutorials FEniCS provides
$-\bigtriangleup(u) = f$ in the unit square
$u = u_D$ on the boundary
$u_D$ $=$ $1 + x^2 + 2y^2$
$f = -6$
using FEniCS
mesh = UnitSquareMesh(8,8)
V = FunctionSpace(mesh,"P",1)
u_D = Expression("1+x[0]*x[0]+2*x[1]*x[1]", degree=2)
u = TrialFunction(V)
bc1 = DirichletBC(V,u_D, "on_boundary")
v = TestFunction(V)
f = Constant(-6.0)
a = dot(grad(u),grad(v))*dx
L = f*v*dx
U = FEniCS.Function(V)
lvsolve(a,L,U,bc1) #linear variational solver
errornorm(u_D, U, norm="L2")
get_array(L) #this returns an array for the stiffness matrix
get_array(U) #this returns an array for the solution values
vtkfile = File("poisson/solution.pvd")
vtkfile << U.pyobject #exports the solution to a vtkfile
Apart from just defining the problem, we can also access and save the arrays corresponding to various variational forms. These return an array type We can do this as follows :
a = dot(grad(u),grad(v))*dx #this sets up the variatonal form from the previous problem
variational_matrix = get_array(a)
We can also plot the solution (this relies on FEniCS backend for plotting) :
FEniCS.Plot(mesh)
FEniCS.Plot(U)
Due to the nature of this project, which relied on FEniCS, we faced various challenges throughout the summer. These included, but where not limited to build errors, where various parts of the package failed to compile, to unexpected errors in the usability of the code. Chris and Bart were very helpful, in both pointing these out, and in assisting in fixing them. In some parts the documentation was slightly patchy which also complicated parts of the project as some functions where ambiguous towards their intended use.
I hope to be able to maintain and improve the package, using it where possibly throughout my further studies. Some identifiable improvements, in order of difficulty are :
Apart from coding, which was very enjoyable and provided a unique learning experience, undertaking this summer project introduced me to a wonderful community. In the brief time working alongside Julia, I had the opportunity to visit the Julia Computing offices in London. Right after, I was provided funding by Julia Computing and NumFOCUS to attend JuliaCon2017 and present a poster. Apart from the excellent talks, there I had the opportunity to share a flat with other GSoC students, and have lunch and drinks with pre-eminent members of the Julia Community. I truly believe this is one of the wonderful things about the open - source community. People devoting their time and effort, to help other people, and to propagate scientific discoveries open to everyone.
First and foremost I would like to thank my mentors Chris and Bart. Chris despite the significant timezone difference has always been there to answer my (very often) questions and provide suggestions. Bart has found lots of the initial errors and inconsistencies in the code, providing the the necessary information to fix these errors. Julia Computing, who along with NumFOCUS, provided funding for me to attend JuliaCon 2017 and present a poster. Finally the Google Open Source program, who provided the necessary funding so I could undertake this project throughout the summer months and have a wonderful experience.


| 1 | package fr.sii.ogham.assertion.sms; | |
| 2 | ||
| 3 | import java.util.List; | |
| 4 | ||
| 5 | import org.hamcrest.Matcher; | |
| 6 | import org.jsmpp.bean.SubmitSm; | |
| 7 | ||
| 8 | import fr.sii.ogham.assertion.AssertionHelper; | |
| 9 | import fr.sii.ogham.assertion.HasParent; | |
| 10 | ||
| 11 | public class SmsListAssert<P> extends HasParent<P> { | |
| 12 | /** | |
| 13 | * The list of messages that will be used for assertions | |
| 14 | */ | |
| 15 | private final List<SubmitSm> actual; | |
| 16 | ||
| 17 | public SmsListAssert(List<SubmitSm> actual, P parent) { | |
| 18 | super(parent); | |
| 19 | this.actual = actual; | |
| 20 | } | |
| 21 | ||
| 22 | /** | |
| 23 | * Assertion on the number of received messages: | |
| 24 | * | |
| 25 | * <pre> | |
| 26 | * .count(is(1)) | |
| 27 | * </pre> | |
| 28 | * | |
| 29 | * @param matcher | |
| 30 | * the assertion applied on the number of received messages | |
| 31 | * @return the fluent API for chaining assertions on received messages | |
| 32 | */ | |
| 33 | public SmsListAssert<P> count(Matcher<Integer> matcher) { | |
| 34 |
3
1. count : All methods instructions replaced by: return null; → NO_COVERAGE 2. count : All methods instructions replaced by: return null; → SURVIVED 3. count : All methods instructions replaced by: return null; → KILLED |
AssertionHelper.assertThat(actual.size(), matcher); |
| 35 | return this; | |
| 36 | } | |
| 37 | ||
| 38 | /** | |
| 39 | * Access a particular message to write assertions for it: | |
| 40 | * | |
| 41 | * <pre> | |
| 42 | * .message(0).content(is("foobar")) | |
| 43 | * </pre> | |
| 44 | * | |
| 45 | * You can use this method to chain several assertions on different | |
| 46 | * messages: | |
| 47 | * | |
| 48 | * <pre> | |
| 49 | * .message(0).content(is("foobar")) | |
| 50 | * .and() | |
| 51 | * .message(1).content(is("toto")) | |
| 52 | * </pre> | |
| 53 | * | |
| 54 | * | |
| 55 | * @param index | |
| 56 | * the index of the message in the received list | |
| 57 | * @return the fluent API for chaining assertions on received messages | |
| 58 | */ | |
| 59 | public SmsAssert<SmsListAssert<P>> message(int index) { | |
| 60 |
2
1. message : All methods instructions replaced by: return null; → NO_COVERAGE 2. message : All methods instructions replaced by: return null; → KILLED |
return new SmsAssert<>(actual.get(index), this); |
| 61 | } | |
| 62 | ||
| 63 | /** | |
| 64 | * Fluent API to write assertions on every received messages. Any defined | |
| 65 | * assertion will be applied on every message: | |
| 66 | * | |
| 67 | * <pre> | |
| 68 | * .receivedMessages().forEach().content(is("foobar")) | |
| 69 | * </pre> | |
| 70 | * | |
| 71 | * Will check that content of every message is "foobar". | |
| 72 | * | |
| 73 | * <p> | |
| 74 | * You can use this method to factorize several assertions on a message and | |
| 75 | * then make dedicated assertions on some messages: | |
| 76 | * | |
| 77 | * <pre> | |
| 78 | * .receivedMessages().forEach() | |
| 79 | * .content(is("foobar")) | |
| 80 | * .and() | |
| 81 | * .message(0) | |
| 82 | * .from().number(is("+33102030405")) | |
| 83 | * </pre> | |
| 84 | * | |
| 85 | * Will check that content of every message is "foobar" and that body of | |
| 86 | * first received message is "+33102030405". | |
| 87 | * | |
| 88 | * @return the fluent API for chaining assertions on received messages | |
| 89 | */ | |
| 90 | public SmsAssert<SmsListAssert<P>> forEach() { | |
| 91 |
2
1. forEach : All methods instructions replaced by: return null; → NO_COVERAGE 2. forEach : All methods instructions replaced by: return null; → KILLED |
return new SmsAssert<>(actual, this); |
| 92 | } | |
| 93 | ||
| 94 | } | |
Mutations | ||
| 34 |
1.1 2.2 3.3 |
|
| 60 |
1.1 2.2 |
|
| 91 |
1.1 2.2 |


codec¶
-
class
naz.codec.
GSM7BitCodec
[source]¶ Bases:
codecs.Codec
SMPP uses a 7-bit GSM character set. This class implements that encoding/decoding scheme. Users should never have to use this directly, instead; use naz.protocol.SubmitSM(encoding=”gsm0338”)
Example Usage:
import naz codec = naz.codec.GSM7BitCodec() codec.encode("foo €")
-
class
naz.codec.
UCS2Codec
[source]¶ Bases:
codecs.Codec
This class implements the UCS2 encoding/decoding scheme. Users should never have to use this directly, instead; use naz.protocol.SubmitSM(encoding=”ucs2”)
UCS2 is for all intents & purposes assumed to be the same as big endian UTF16.
-
naz.codec.
register_codecs
(custom_codecs=None)[source]¶ Register codecs, both custom and naz inbuilt ones. Custom codecs that have same encoding as inbuilt ones will take precedence. Users should never have to use this directly, instead; use naz.Client(custom_codecs={“my_encoding”: codecs.CodecInfo(name=”my_encoding”, encode=…, decode=…)})
- Parameters
custom_codecs (
Union
[None
,Dict
[str
,CodecInfo
]]) – a list of custom codecs to register.


U-571 (Universal) Starring: Matthew McConaughey, Bill Paxton, Harvey Keitel, Jon Bon Jovi, Thomas Kretschmann, Jake Weber, Jack Noseworthy, David Keith. Screenplay: Jonathan Mostow, Sam Montgomery and David Ayer. Producers: Dino de Laurentiis and Martha de Laurentiis. Director: Jonathan Mostow. MPAA Rating: PG-13 (violence, profanity) Running Time: 116 minutes. Reviewed by Scott Renshaw.
I'll tell you how U-571 ends: The good guys win. I'll let on another key piece of information: When two characters are engaged in conversation during a non-combat moment, you can bet your life that there should be a bright red neon sign beneath the characters' faces that flashes the word "FORESHADOWING" over and over again.  Moral complexity? Psychology? Subtext? Who has time for 'em? U-571 is a relentless plot machine. It's narrative film-making stripped down to the barest essentials: a plot, people to move the plot forward and a director to set the pace.
The director in this case happens to be Jonathan Mostow, who previously helmed the relentless plot machine called BREAKDOWN. And he's very good at wringing every last drop of adrenaline out of his propulsive, generic tales. U-571 wrinkles history a bit to tell the story of an American mission to nab an Enigma code device -- which had been allowing German U-boats to pick their way through the North Atlantic fleet with little resistance -- from a crippled U-boat. The crew of an American submarine gets the job, including just-passed-over-for-a-command Lt. Andy Tyler (Matthew McConaughey). Posing as part of a German supply crew, the Americans manage to subdue their German counterparts. In fact, that turns out to be the easy part of the mission, as a torpedo to the American sub leaves her crew trapped on U-571.
The emphasis should be on the word "crew," because it's not particularly easy -- or, in fact, necessary -- to distinguish between individual crew members. Since McConaughey and Harvey Keitel (as Chief) are the most recognizable faces, they get a few moments of individual character development. The rest of the bunch either play necessary plot roles -- the radio operator (Jack Noseworthy) keeps us up to date on exactly how close to disaster our protagonists are; the vaguely unsavory military intelligence operative (Jake Weber) is around to remind us they must succeed or die trying -- or have endearing nicknames like Tank, Rabbit or Trigger. I have now effectively put as much time into delineating the individual characters as the screenwriters did. For two hours, they are asked to scramble about madly trying to keep the sub from sinking. Thank you for your time, Mr. Noseworthy, and here's your check.
Ordinarily, an action film with such a minimal concern for its human beings sets me to slumping despairingly in my seat. Mostow, on the other hand, has a knack for keeping me on the edge of it. U-571 takes us from one almost-impossible situation to another, never allowing the film to rest long enough for the whole enterprise to seem shallow. There would seem to be only so many ways to make spraying water, shuddering submarines and nautical maneuvers exciting, but Mostow finds every one of them. You know you're in the hands of a gifted action film-maker when you find yourself watching scenes that should have you scoffing, but instead have you cringing in anticipation. There's not a reason in the world to care about any of the people on board U-571, except as representations of our noble fighting men. Mostow managed to keep me enthralled in the fate of a sub full of puppets.
Of course it would have been preferable for U-571 to seem a bit more concerned with men under fire. In a way it's a throwback to the World War II films of a bygone era, interested primarily in waving the flag for the bravery of those who whipped Jerry into submission. Circa 2000, you can also add big-budget special effects and killer sound to the mix (do yourself a favor and see it in a theater that will have you shrinking from the straining walls). And you can add Jonathan Mostow, a director who's never going to be confused with Eric Rohmer when it comes to exploring the nuances of the human condition. The man can keep you hanging on to your armrests, though, and that's a rare talent. U-571 doesn't take its sub to any great depths. It just keeps the boat rockin'.
On the Renshaw scale of 0 to 10 embraceable U's: 7.
Visit Scott Renshaw's Screening Room http://www.inconnect.com/~renshaw/ *** Subscribe to receive new reviews directly by email! See the Screening Room for details, or reply to this message with subject "Subscribe".
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


☰
Experimental Design
Examples (data files)
Introduction
Fundamentals of a statistical test
Experimental Design
One-factor ANOVA
Factor Types
A posteriori
Multiple Comparison Tests
Data Transformation
Two-factor ANOVA
Cornfield-Tukey Rules (N-Factor ANOVA)
a priori
multiple tests
Pooling
Asymmetrical ANOVAs
Beyond BACI


{% extends "../jobprofile.html" %}
{% block page_title %}
Find a career
{% endblock %}
{% set profileName = "Primary school teacher" %}
{% set profileSecondaryName = "" %}
{% set profileDescription = "Primary school teachers look after the educational, social and emotional development of children from age 5 to 11." %}
{% set salaryLow = "20,000" %}
{% set salaryHigh = "39,000" %}
{% set hoursRange = "37 - 40" %}
{% set hoursDetail = "Term time / school hours" %}
{% set patternValue = "Evenings & weekends" %}
{% set patternDescription = "Attending events or appointments" %}
{% block content %}
{% set serviceName = 'Find a career' %}
{% set bannerStyle = 'BETA-style' %}
You'll usually need to gain Qualified Teacher Status (QTS) through initial teacher training (ITT). There are several ways you can do ITT. For all of them you'll need: You can do a Bachelor of Education (BEd) with QTS or a degree in a subject that relates to the National Curriculum. UCAS has information on degree courses and entry requirements. You can apply for student finance to cover fees and living costs. If you have QTS, you can apply for teaching jobs. If your degree doesn't include QTS, you'll need to do a postgraduate teaching qualification like a Postgraduate Certificate in Education (PGCE). You can get this through: Get into Teaching has more information about training routes and funding. Depending on the route you take and the subject you train to teach, you could get a salary, a bursary or a student loan. You'll need: Most teaching jobs are in state schools and academies, but you could also work in independent schools, pupil referral units and hospitals. You could also register with an agency to provide supply cover for other teachers. You'll teach subjects in the primary national curriculum at key stage 1 (ages 5 to 7) and key stage 2 (ages 7 to 11). Subjects include English, maths, science, music and art. With experience you could develop a specialism in a particular subject like computing or art and design. Your day-to-day tasks may include: You may also work with under-5s in a children's centre or a reception class in a primary school. You could specialise in teaching pupils with special educational needs or move into pastoral care. With experience, you could become a specialist leader of education (SLE) supporting teachers in other schools. You could also progress to curriculum leader, deputy head and head teacher, or become a private tutor.
Right now there aren't any apprenticeships in this field of work. Consider exploring the related careers or find other apprenticeships.
There are no courses for Primary school teacher available at the moment
1. How to become a {{ profileName }}
University
2. Skills
3. What you'll do
4. Career path and progression
5. Current opportunities
Apprenticeships
In England
Training courses
In England
Last updated: 23 March 2016
{% endblock %}


{% include header.html %} {% include nav.html %}
Update: The deadline has been extended to 6th November.
Have you been inspired by the altmetrics discussion at the #1amconf and on Twitter over the last few days? Or do you know of some researchers who were already starting to get interested in the wider impact of their work, and want to find out more about it?
With the generous support of Thomson Reuters we are pleased to announce an open call for applications for project funding for workshops, research, or other similar activities in the altmetrics space.
For example, you might want to:
These are just a few ideas – we want to hear about the things you want to do, and hope that the funding on offer will be able to support the development of these where otherwise there might not be budget.
We’ll be taking applications until 6th November 2014 – to submit your project or research funding request please email<EMAIL_ADDRESS>and include details of:
We’ll review the proposals and notify the selected applicants by mid-November.
{% include footer.html %}


Address:
Carraig Rua, Dublin Road, Kilkenny, R95 EPD1, Ireland.From Dublin on the M9: At the roundabout take the first left exit heading for the Old Dublin roundabout. At that roundabout take the third exit heading for city centre. The house is at the bottom of the hill on the right.
Getting here from Cork/ClonmelFrom Cork/Clonmel: At the roundabout take the second exit heading on the N10. Go through four roundabouts when you get to the Old Dublin Road roundabout take a left heading for city centre. The house is on the right side at the bottom of hill.
Getting here from Cashel, Urlingford, Freshford and ThreecastleAt the roundabout continue straight onto Freshford Road R693. Turn left onto Green St continue to follow R693. At the roundabout take 3 exit onto Castlecomer Road then straight through traffic lights next roundabout take exit 2 then left on to Dublin Road at lights Bed and breakfast on the left hand side Carraig rua.


Click on "Enter Input" to enter the string that you want to parse
Click on "Step" to see the correct answer for next step
Click on a cell in the matrix then click on "Animate" to see the animation for that cell
Click on "Complete All" to see the complete answer for the parse table
Click on "Flip Table" to see the table upside down
When inputting your answer in the parse table, separate each character with a comma with no space in between


The markers for these list items are on the inside.
One
Two
The markers for these list items are on the outside.
One
Two


acl acl2013 acl2013-271 acl2013-271-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Lili Kotlerman ; Nitin Madnani ; Aoife Cahill
Abstract: Pivoting on bilingual parallel corpora is a popular approach for paraphrase acquisition. Although such pivoted paraphrase collections have been successfully used to improve the performance of several different NLP applications, it is still difficult to get an intrinsic estimate of the quality and coverage of the paraphrases contained in these collections. We present ParaQuery, a tool that helps a user interactively explore and characterize a given pivoted paraphrase collection, analyze its utility for a particular domain, and compare it to other popular lexical similarity resources all within a single interface.


Recipe 14.3. Uploading Files with CGICredit: Noah Spurrier, Georgy Pruss ProblemYou need to enable the visitors to your web site to upload files by means of a CGI script. SolutionNet of any security checks, safeguards against denial of service (DOS) attacks, and the like, the task boils down to what's exemplified in the following CGI script: #!/usr/local/bin/python import cgi import cgitb; cgitb.enable( ) import os, sys try: import msvcrt # are we on Windows? except ImportError: pass # nope, no problem else: # yep, need to set I/O to binary mode for fd in (0, 1): msvcrt.setmode(fd, os.O_BINARY) UPLOAD_DIR = "/tmp" HTML_TEMPLATE = \ """<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> <title>Upload Files</title>
Upload Files
 <form action="%(SCRIPT_NAME)s" method="POST" enctype="multipart/form-data"> File name: <input name="file_1" type="file">
 File name: <input name="file_2" type="file">
 File name: <input name="file_3" type="file">
 <input name="submit" type="submit"> </form>  """ def print_html_form( ): """ print the form to stdout, with action set to this very script (a 'self-posting form': script both displays AND processes the form).""" print "content-type: text/html; charset=iso-8859-1\n" print HTML_TEMPLATE % {'SCRIPT_NAME': os.environ['SCRIPT_NAME']} def save_uploaded_file(form_field, upload_dir): """ Save to disk a file just uploaded, form_field being the name of the file input field on the form. No-op if field or file is missing.""" form = cgi.FieldStorage( ) if not form.has_key(form_field): return fileitem = form[form_field] if not fileitem.file: return fout = open(os.path.join(upload_dir, fileitem.filename), 'wb') while True: chunk = fileitem.file.read(100000) if not chunk: break fout.write(chunk) fout.close( ) save_uploaded_file("file_1", UPLOAD_DIR) save_uploaded_file("file_2", UPLOAD_DIR) save_uploaded_file("file_3", UPLOAD_DIR) print_html_form( ) DiscussionThe CGI script shown in this recipe is very bare-bones, but it does get the job done. It's a self-posting script: it displays the upload form, and it processes the form when the user submits it, complete with any uploaded files. The script just saves files to an upload directory, which in the recipe is simply set to /tmp. The script as presented takes no precaution against DOS attacks, so a user could try to fill up your disk with endless uploads. If you deploy this script on a system that is accessible to the public, do add checks to limit the number and size of files written to disk, perhaps depending, also, on how much disk space is still available. A version that might perhaps be more to your liking can be found at http://zxw.nm.ru/test_w_upload.py.htm. See AlsoDocumentation on the cgi, cgitb, and msvcrt standard library modules in the Library Reference and Python in a Nutshell. |


Complete your edits using the form below, then press the 'Submit Edits for Review' button. As you are an admin, you may also choose to immediately apply your edits without review by clicking 'Apply Edits'.
HUGO gene symbol
User-defined summary of the clinical relevance of this Gene.
Should include:
relevance to appropriate cancer(s)
treatment(s) related specifically to variants affecting this Gene
May include relevant mechanistic information such as:
pathway interactions
functional alterations caused by variants in with this Gene (i.e., activating, loss-of-function, etc)
normal functions key to its oncogenic properties.
Short title describing the changes you made to the Clinical Description.
Description of the changes you made to the Clinical Summary. If necessary, provide additional rationale for your change to the community.


Guide for the /usr/bin/ece Script
Table of Contents
1 TAB completion
The ece script offers TAB completion, given that your version of BASH supports this and that you have enabled it (some distributions hasn't turned on BASH completion per default).
1.1 Completing ece commands
You will find yourself using this regularly, both for speed, but also to remember all the different options and their correct wording:
$ ece TAB TAB applog deploy log start threaddump assemble help outlog status update clean kill restart stop versions
The commands are all described in detail in "ece help"
1.2 Completing types of servers the ece scripts can operate on
$ ece -t TAB TAB analysis engine rmi-hub search
1.3 Completing the publication resources available
The ece script can update the publication resources for a given publication.
To help selecting the correct publication resource, you can make ece list and complete the available resource names:
$ ece -p mypub -r TAB TAB content-type image-version layout-group feature layout menu
2 Getting an overview of all available options
$ ece help Usage: /home/torstein/bin/ece [-t <type>] [-i <instance>] <command> DESCRIPTION -t --type <type> The following types are available: engine - The Escenic Content Engine, this is the default and is the assumed type if none is specified. search - A standalone search indexer and solr instance rmi-hub - The RMI hub responsible for the internal communication between the ECE instances. analysis - The Escenic Analysis Engine also knows as 'Stats' -i --instance <instance> The type instance, such as editor1, web1 or search1 -p --publication <publication> Needed only for updating publication resources -r --resource <resource> Used for updating publication resources. Must be one of: content-type, feature, layout, layout-group image-version, menu -v --verbose Prints out debug statements, useful for debugging. The following commands are available: applog the type's app server log assemble runs the Assembly Tool *) clean removes temporary files created by /home/torstein/bin/ece *) deploy deploys the assembled EAR *) help prints this help screen kill uses force to stop the type log the type's Log4J log outlog the [ece#engine] script log (system out log) restart restarts the type start starts the type status checks if the type is running stop stops the type threaddump write a thread dump to standard out (system out log) update update publication resources versions lists the ECE component versions *) only applicable if type is 'engine'
3 Tailing log files
The script has a number of options to let you keep track of what's going on on your system.
3.1 Getting an overview of the log files
The ece script will be more than happy to tell you about the log files on your system that are of interest to your instance:
$ ece -i dev1 loglist [ece#engine-dev1] System out log: /var/log/escenic/engine-dev1.out [ece#engine-dev1] App server log: /opt/tomcat-dev1/logs/localhost.2011-09-20.log [ece#engine-dev1] log4j log: /var/log/escenic/messages
3.2 Commands for tailing the log files
There are three different logs, which ece will let you tail. When tailing the log file, ece will also first print out where the file is located on the file system so you can open it later for further inspection.
$ ece -i dev1 outlog [ece#engine-dev1] Tailing the system out log /var/log/escenic/engine-dev1.out
The available log file commands are:
- outlog
- the system out log
- applog
- the app server log
- log
- the log4j log
3.3 Piping the log files to another command
If you wish to pass the log files onto another pipe, for instance to grep all the log files for a certain exception or error message, you will find the -q parameter useful:
$ ece -i dev1 -q loglist | xargs grep IllegalArgumentException
This approach is also useful if you wish to tail all the log files at once:
$ ece -i dev1 -q loglist | xargs tail -f
4 Assembling a new EAR
The script will quite happily assemble your EAR file. Please note that you need to run
$ ece -i clean assemble
whenever you've upgraded either ECE or one of its plugins. The script will try to take care of you though and warn you of such duplication:
[ece#engine] Multiple versions of ECE and/or 3rd party libraries found. [ece#engine] Remember, you need to run 'ece clean assemble' when [ece#engine] upgrading either ECE or one of the plugins. [ece#engine] I will now clean it up for you and re-run the assembly. [ece#engine] Cleaning up generated files in /opt/escenic/assemblytool ... [ece#engine] Assembling your EAR file ...
If you're just re-running the assembly after just adding a new plugin or want to re-build your publications after template changes, you can omit the clean command and just run:
$ ece assembly
The EAR produced is now ready to be deployed with
$ ece [-i <instance>] deploy
5 Installation
The ece script and ece.conf may be used on any Unix like system that has a fairly recent version of BASH installed.
5.1 Overview of File Paths Used by the ece script
These are recommended files and locations for using the ece script:
| Path | Explanation |
|---|---|
| /usr/bin/ece | The script itself |
| /etc/escenic/ece.conf | The main configuration file |
| /etc/escenic/ece-<instance>.conf | Instance specific settings |
| /var/cache/escenic | Directory of assembled EAR files |
| /tmp | Directory for temporary files |
As you can see in ece.conf, there are a number of default locations dealing with log files, pid files, crash files as well as application server files. The defaults all follow the File Hierarchy Standard, but you may of course change these to your liking.
If you wish to put the .conf files in other places, you may like to know that the ece script has preset list of locations where it looks for the .conf files mentioned above, namely:
- current working directory
- /etc/escenic/<type>/instance/<instance name>
- /etc/escenic/<type>/host/<hostname>
- /etc/escenic/<type>/common
- /etc/escenic/<type>
- etc/escenic - <current working direcotry>../etc
You may override this list of locations by setting the this environment variable in your .bashrc or similar:
ECE_CONF_LOCATIONS
The reason for having so many options is because various Escenic consultants, partners and customers have requested these locations to fit their systems. As you can see, fitting everyone's fancy adds up over time :-)
6 Running the ece script
6.1 You must run it as a non-privileged user
You must be normal user to run the ece script, otherwise it will complain:
[ece#engine] Sorry, you cannot be root when running ece [ece#engine] The root user can only use /etc/init.d/ece
As it mentions, the root user may use the init.d script and the accompanying /etc/default/ece to command the different ECE, EAE and RMI hub instances on your system.
6.2 Specifying instance
6.2.1 Specifying the instance
The script is made for being easy to use with multiple instances on the same host. You specify the instance you want to operate on using the -i parameter. E.g. to assemble and deploy the editor1 instance, you'd do:
$ ece -i editor1 assemble deploy restart
The script's TAB completion will also help you with completing the available instances on your system, so you can just type:
$ ece -i TAB TAB mypub myotherpub
For this to work, the script assumes that you have installed the instance specific configuration in /etc/escenic/engine/instance, as is described in the Escenic Content Engine Installation Guide.
6.3 TAB completion
The ece script offers TAB completion of all commands, options and option values. For this to work, you need the completion file loaded from your .bashrc.
This can either be done by enabling all BASH completions on your system (some systems have this set up per default), refer to your OS documentation for this.
Alternatively, to just enable the ece completion, simply add the following line to your .bashrc:
. /etc/bash_completion.d/ece
Naturally, the bashcomletion.d needs to be in the above location :-)
7 Backup
One of the many features of the ece script, is that you can take a snapshot of your current running system, which can then be restored using the /usr/sbin/ece-install script.
The backup will include the database, the Nursery configuration, the DB configuration, the Varnish configuration, the nginx congiguration, all the Escenic software binaries, your publication and your application servers.
To create the backup, you'll simply do:
$ ece -i editor1 backup
It will then create tarball with everything and put it in
/var/backups/escenic
Sometimes, you only want to take a backup of the data files and are not so concerned with the Escenic and application server binaries as these are easily installed from elsewhere. If so, you may do the following:
$ ece -i editor1 backup --exclude-binaries
When running in a production environment, it's advised to first stop the search instance which runs the Solr indexer, so that the Solr index isn't corrupted:
$ ece -i search1 stop $ ece -i editor1 backup


⇚
⇐
←
Position:
Go
→
⇒
⇛
Pierre Lindenbaum PhD.
2014.
https://github.com/lindenb/mod_bio
. Tested with Firefox 28.0.


| Number of Classes | Line Coverage | Mutation Coverage | Mutation Score |
|---|---|---|---|
| 4 | 78% | 48% | 59%
Killed: 48
Uncertain: 0
|
| Name | Line Coverage | Mutation Coverage | Mutation Score |
|---|---|---|---|
| Email.java | 72% |
49% |
53%
Killed: 29
Uncertain: 0
|
| EmailAddress.java | 100% |
41% |
79%
Killed: 11
Uncertain: 0
|
| Recipient.java | 73% |
52% |
67%
Killed: 6
Uncertain: 0
|
| RecipientType.java | 100% |
69% |
67%
Killed: 2
Uncertain: 0
|


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